Raw materials and production control with random supply and demand, an outside market and production capacity

Feng, Yi; Abdus, Sami; Tuo, Gladys; Chen, Shaoxiang

doi:10.1016/j.orl.2022.10.008

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…To realize the level of integration and flexibility required to allow overall optimization of the raw materials and energy utilization, in relation to their availability/ pricing, while simultaneously matching the product output to the needs/ demands from the integrated industry network and/or market, including heat and power (e.g., through "reversible" powerto-x processes) [162], dynamic control of all the different interlinked processes involved in converting raw materials to the final mix of products would be needed, however [163,164]. Moreover, controlling processes for which significant variations in process conditions have to be accommodated, e.g.…”

Section: Process Industrymentioning

confidence: 99%

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Khajavizadeh

2023

Linköping Studies in Science and Technology. Dissertations

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Section: Process Industrymentioning

confidence: 99%

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Khajavizadeh

2023

Linköping Studies in Science and Technology. Dissertations

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Formation of a system of production capacity indicators

Kuznetsov,

Feingold

2024

RJIE

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The term “production capacity” has always been one of the most important in the theory and practice of production management of an engineering enterprise. In the current conditions the issues of determining and classifying production capacity of manufacturing enterprises are of particular significance. Possessing reliable data on production capacity of a manufacturing enterprise one can determine the production output and the equipment workload level, and run the available production facilities effectively. The reliability of the information essential for decision-making depends on the methodology of determining and classifying production capacity of manufacturing enterprises. The purpose of the study is to reveal the contents of the system of specific indicators of the term “production capacity”. To achieve the goal the author of the article studies the problems of evaluation of production capacity of separate manufacturing structural units and the entire company. The subject of the study is the principles and methods of classification of the indicators of production capacity of a manufacturing enterprise. The article presents the author’s approach to defining the essence and classifying the production capacity indicators. To achieve the goal the authors applied the analysis and synthesis methods. Application of the deduction principle allowed creating a system of production capacity indicators. The study has been based on the review of relevant scientific and periodical economic publications. The contents and the volume of the “production capacity” concept have been established. The proposed system of individual indicators of production capacity allows increasing the accuracy of calculation of production capacity, identify time reserves for various operations, efficiently plan the equipment exploitation and improve operational and calendar planning at the manufacturing enterprise.

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Developing trust among players in a vendor-managed inventory model for random demand under environmental impact

Saren

Guchhait

AlArjani

et al. 2023

MBE

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<abstract><p>Retailers play a vital role in supply chain management because they deal directly with consumers. Occasionally, retailers may cover the entire system's statistics and not disclose these data to the manufacturer. Therefore, asymmetry is generated in the data throughout the system. The main motive of this research was to prevent unreliability throughout the system using a vendor-managed inventory policy. This research shows that by applying a cap and trade policy, the total carbon emitted from the production and transportation sectors can be controlled in the atmosphere. Finally, numerical and sensitivity analyses, along with pictorial representations of various parameters, are performed to examine the optimal results of this study. In addition, the retailer's lead time demand for items is assumed to be random rather than fixed and follows uniform and normal distribution functions. Under these two distribution functions, the optimal retailer lot size, service provided by the retailer to customers, and retailer reorder points are assessed. Furthermore, an evaluation of the total carbon released from an environmental viewpoint is illustrated using numerical findings. The numerical results show that this research is 50.24% more economically beneficial than the methods used in previous studies, whereas the mean value of demand follows a uniform distribution.</p></abstract>

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Raw materials and production control with random supply and demand, an outside market and production capacity

Cited by 3 publications

References 12 publications

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Materials Design for the Improvement of SiC Field Effect Gas Sensor performance in High Temperature Process Control applications

Formation of a system of production capacity indicators

Developing trust among players in a vendor-managed inventory model for random demand under environmental impact

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